Foto: Anna Logue

Bachelor Seminar

The Chair of Artificial Intelligence typically offers a Bachelor Seminar in the lecture-free time between HWS and FFS. Participation requires the successful participation in the Elective Course „Künstliche Intelligenz“ offered in the HWS term. Candidates will be selected based on the grade achieved in this course. Details of the Seminar will be sent to the participants of the course at the end of the HWS term.

Applications for Bachelor and Master Thesis

The Chair of Artificial Intelligence (Prof. Stuckenschmidt) is already booked out for 2020. Students with very good grades may still apply for the following topics:

  • Hyperparameter Optimization for Rule-based Link Prediction
  • Automatic Generation of Test Cases for Autonomous Vehicles (in cooperation with Bosch)
  • Improving Human Activity recognition with Object Occurrence Statistics from Videos
  • Automatic identification of activities and their relations in text
  • Random Hoeffding Forests for Dynamic Feature Spaces

Artificial Intelligence Group

(Prof. Stuckenschmidt)

Our group conducts fundamental and applied research in knowledge representation formalisms with a focus on reasoning techniques for information extraction and integration. Our work is centered around:

  • Standard reasoning including description logic reasoning and non-standard reasoning techniques (explanations and debugging techniques)
  • Combining Probabilistic reasoning and Utility Theory with Description Logics
  • Applications in various domains (web data integration and management, semantic web, ontology matching, context-aware applications, Business Process Management etc.) 

Projects

Projects at the chair

Projects at the InES Institute

 

Software and Data

Courses FSS

Business Informatics II: Foundations of Modeling (Exercise, german)
Vorlesungs­typ:
Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
german
SWS:
2
Lernziel:
Fach­kompetenz:
  • Kenntnisse aktueller Modellierungs­sprachen und Werkzeugen.
  • Verständnis für Grundprinzipien und Formalen Grundlagen der Modellierung von Anwendungs­domänen und Prozessen.

Methoden­kompetenz:
  • Beschreibung von Domänen und Prozesse einfacher und mittlerer Komplexität mit Hilfe gängiger Sprachen und Werkzeuge

Personale Kompetenz:
  • Verständnis komplexer Zusammenhänge, Arbeiten im Team, Kommunikation von Modellierungs­entscheidungen
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Studien­beginn ab HWS 2011:
Erfolgreiche Teilnahme am Übungs­betrieb
Schriftliche Klausur (90 Minuten)

Studien­beginn vor HWS 2011:
Schriftliche Klausur (90 Minuten)

Lektor(en):
Beschreibung:
Die Vorlesung behandelt die Rolle konzeptueller Modellierung in der Wirtschafts­informatik. Es werden Vorteile und Grenzen der Modlelierung im Unternehmenkontext aufgezeigt und Modellierungs­sprachen und Werkzeuge eingeführt. Inhalte der Veranstaltung umfassen unter anderem:
  • Modellierungs­prinzipien
  • Praxisnahe Sprachen (UML, BPMN)
  • Formale Grundlagen von Modellierungs­sprachen (Logik, Pertri-Netze)
  • Modellierungs­werkzeuge.
In der begleitenden Übung erstellen die Teilnehmer konzpetuelle Modelle realer Anwendungs­domänen mit Hilfe aktueller Modellierungs­sprachen und Werkzeuge.
Business Informatics II: Foundations of Modeling (Lecture, german)
Vorlesungs­typ:
Lecture
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
german
SWS:
2
Lernziel:
Fach­kompetenz:
  • Kenntnisse aktueller Modellierungs­sprachen und Werkzeugen.
  • Verständnis für Grundprinzipien und Formalen Grundlagen der Modellierung von Anwendungs­domänen und Prozessen.

Methoden­kompetenz:
  • Beschreibung von Domänen und Prozesse einfacher und mittlerer Komplexität mit Hilfe gängiger Sprachen und Werkzeuge

Personale Kompetenz:
  • Verständnis komplexer Zusammenhänge, Arbeiten im Team, Kommunikation von Modellierungs­entscheidungen
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Studien­beginn ab HWS 2011:
Erfolgreiche Teilnahme am Übungs­betrieb
Schriftliche Klausur (90 Minuten)

Studien­beginn vor HWS 2011:
Schriftliche Klausur (90 Minuten)

Lektor(en):
Beschreibung:
Die Vorlesung behandelt die Rolle konzeptueller Modellierung in der Wirtschafts­informatik. Es werden Vorteile und Grenzen der Modlelierung im Unternehmenkontext aufgezeigt und Modellierungs­sprachen und Werkzeuge eingeführt. Inhalte der Veranstaltung umfassen unter anderem:
  • Modellierungs­prinzipien
  • Praxisnahe Sprachen (UML, BPMN)
  • Formale Grundlagen von Modellierungs­sprachen (Logik, Pertri-Netze)
  • Modellierungs­werkzeuge.
In der begleitenden Übung erstellen die Teilnehmer konzpetuelle Modelle realer Anwendungs­domänen mit Hilfe aktueller Modellierungs­sprachen und Werkzeuge.
Business Informatics II: Foundations of Modeling (Exercise, german)
Vorlesungs­typ:
Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
german
SWS:
2
Lernziel:
Fach­kompetenz:
  • Kenntnisse aktueller Modellierungs­sprachen und Werkzeugen.
  • Verständnis für Grundprinzipien und Formalen Grundlagen der Modellierung von Anwendungs­domänen und Prozessen.

Methoden­kompetenz:
  • Beschreibung von Domänen und Prozesse einfacher und mittlerer Komplexität mit Hilfe gängiger Sprachen und Werkzeuge

Personale Kompetenz:
  • Verständnis komplexer Zusammenhänge, Arbeiten im Team, Kommunikation von Modellierungs­entscheidungen
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Studien­beginn ab HWS 2011:
Erfolgreiche Teilnahme am Übungs­betrieb
Schriftliche Klausur (90 Minuten)

Studien­beginn vor HWS 2011:
Schriftliche Klausur (90 Minuten)

Lektor(en):
Beschreibung:
Die Vorlesung behandelt die Rolle konzeptueller Modellierung in der Wirtschafts­informatik. Es werden Vorteile und Grenzen der Modlelierung im Unternehmenkontext aufgezeigt und Modellierungs­sprachen und Werkzeuge eingeführt. Inhalte der Veranstaltung umfassen unter anderem:
  • Modellierungs­prinzipien
  • Praxisnahe Sprachen (UML, BPMN)
  • Formale Grundlagen von Modellierungs­sprachen (Logik, Pertri-Netze)
  • Modellierungs­werkzeuge.
In der begleitenden Übung erstellen die Teilnehmer konzpetuelle Modelle realer Anwendungs­domänen mit Hilfe aktueller Modellierungs­sprachen und Werkzeuge.
Business Informatics II: Foundations of Modeling (Exercise, german)
Vorlesungs­typ:
Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
german
SWS:
2
Lernziel:
Fach­kompetenz:
  • Kenntnisse aktueller Modellierungs­sprachen und Werkzeugen.
  • Verständnis für Grundprinzipien und Formalen Grundlagen der Modellierung von Anwendungs­domänen und Prozessen.

Methoden­kompetenz:
  • Beschreibung von Domänen und Prozesse einfacher und mittlerer Komplexität mit Hilfe gängiger Sprachen und Werkzeuge

Personale Kompetenz:
  • Verständnis komplexer Zusammenhänge, Arbeiten im Team, Kommunikation von Modellierungs­entscheidungen
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Studien­beginn ab HWS 2011:
Erfolgreiche Teilnahme am Übungs­betrieb
Schriftliche Klausur (90 Minuten)

Studien­beginn vor HWS 2011:
Schriftliche Klausur (90 Minuten)

Lektor(en):
Beschreibung:
Die Vorlesung behandelt die Rolle konzeptueller Modellierung in der Wirtschafts­informatik. Es werden Vorteile und Grenzen der Modlelierung im Unternehmenkontext aufgezeigt und Modellierungs­sprachen und Werkzeuge eingeführt. Inhalte der Veranstaltung umfassen unter anderem:
  • Modellierungs­prinzipien
  • Praxisnahe Sprachen (UML, BPMN)
  • Formale Grundlagen von Modellierungs­sprachen (Logik, Pertri-Netze)
  • Modellierungs­werkzeuge.
In der begleitenden Übung erstellen die Teilnehmer konzpetuelle Modelle realer Anwendungs­domänen mit Hilfe aktueller Modellierungs­sprachen und Werkzeuge.

Courses HWS

Decision Support (Lecture w/ Exercise, english)
Vorlesungs­typ:
Lecture w/ Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
english
SWS:
2
Lernziel:
Expertise:
Students will acquire basic knowledge of the techniques, opportunities and applications of decision theory.
Methodological competence:
  • Successful participants will be able to identify opportunities for decision support in an enterprise environment, select and apply appropriate techniques, and interpret the results.
  • project presentation skills

Personal competence:

  • team work skills
  • presentation skills
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Written examination (90 minutes), homework assignments, case studies
Lektor(en):
Beschreibung:
The course provides an introduction to decision support techniques as a basis for the design of decision support systems. The course will cover the following topics:
  • Decision Theory
  • Decision- and Business Rules
  • Planning Methods and Algorithms
  • Probabilistic Graphical Models
  • Game Theory and Mechanism Design
Decision Support (Lecture w/ Exercise, english)
Vorlesungs­typ:
Lecture w/ Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
english
SWS:
2
Lernziel:
Expertise:
Students will acquire basic knowledge of the techniques, opportunities and applications of decision theory.
Methodological competence:
  • Successful participants will be able to identify opportunities for decision support in an enterprise environment, select and apply appropriate techniques, and interpret the results.
  • project presentation skills

Personal competence:

  • team work skills
  • presentation skills
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Written examination (90 minutes), homework assignments, case studies
Lektor(en):
Beschreibung:
The course provides an introduction to decision support techniques as a basis for the design of decision support systems. The course will cover the following topics:
  • Decision Theory
  • Decision- and Business Rules
  • Planning Methods and Algorithms
  • Probabilistic Graphical Models
  • Game Theory and Mechanism Design
Artificial Intelligence (Lecture, german)
Vorlesungs­typ:
Lecture
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
german
SWS:
4
Lernziel:
Fach­kompetenz:
Ziele und Grundlagen der Künstlichen Intelligenz. Such­verfahren als universelle Problemlösungs­verfahren. Problemkomplexität und Heuristische Lösungen. Eigenschaften und Zusammenhang zwischen unterschiedlichen Such­verfahren.
Methoden­kompetenz:
Beschreibung konkreter Aufgaben als Such-, Constraint- oder Planungs­problem. Implementierung unterschiedlicher Such­verfahren und Heuristiken.
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Erfolgreiche Teilnahme am Übungs­betrieb
schriftliche Klausur (90 Minuten)
Lektor(en):
Christian Meilicke
Beschreibung:
  • Problemeigenschaften und Problemtypen
  • Problemlösen als Suche, Anwendung im Bereich Computer­spiele
  • Constraint­probleme und deren Lösung
  • Logische Constraints
Artificial Intelligence (Exercise, german)
Vorlesungs­typ:
Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
german
SWS:
4
Lernziel:
Fach­kompetenz:
Ziele und Grundlagen der Künstlichen Intelligenz. Such­verfahren als universelle Problemlösungs­verfahren. Problemkomplexität und Heuristische Lösungen. Eigenschaften und Zusammenhang zwischen unterschiedlichen Such­verfahren.
Methoden­kompetenz:
Beschreibung konkreter Aufgaben als Such-, Constraint- oder Planungs­problem. Implementierung unterschiedlicher Such­verfahren und Heuristiken.
Empfohlene Voraussetzungen:
Prüfungs­leistung:
Erfolgreiche Teilnahme am Übungs­betrieb
schriftliche Klausur (90 Minuten)
Lektor(en):
Beschreibung:
  • Problemeigenschaften und Problemtypen
  • Problemlösen als Suche, Anwendung im Bereich Computer­spiele
  • Constraint­probleme und deren Lösung
  • Logische Constraints
Network Analysis (Lecture w/ Exercise, english)
Vorlesungs­typ:
Lecture w/ Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
english
SWS:
4
Lektor(en):
Heiner Stuckenschmidt
Network Analysis (Lecture w/ Exercise, english)
Vorlesungs­typ:
Lecture w/ Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
english
SWS:
4
Lektor(en):
Heiner Stuckenschmidt
Relational Learning (Lecture, english)
Vorlesungs­typ:
Lecture
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
english
Lektor(en):
Christian Meilicke , Heiner Stuckenschmidt
Relational Learning (Exercise, english)
Vorlesungs­typ:
Exercise
ECTS:
6.0
Kurs geeignet für:
Kurssprache:
english
SWS:
2
Lernziel:
Participants will be introduced to a specific form of Machine Learning that aims at learning relational rules from relational data. They should understand the strengths and limitations of this type of machine learning methods in comparison to more widely used propositional learning ap-proaches and gather practical experiences with using the methods on example data.
Students will acquire basic knowledge of the techniques, opportunities and applications of logical learning methods.
Successful participants will be able to identify opportunities for rela-tional learning methods, select and apply appropriate techniques, and interpret the results.
Empfohlene Voraussetzungen:
Literatur:
  • Luc De Raedt. Logical and Relational Learning. Springer 2010. Chapters 1 – 6.
  • Luc De Raedt, A. Dries, I. Thon, G. Van den Broeck, M. Verbeke. In-ducing Probabilistic Relational Rules from Probabilistic Examples (IJCAI, 2015) (https://lirias.kuleuven.be/handle/123456789/499989)
  • Luc De Raedt, I. Thon. Probabilistic rule learning (Proceedings of ILP, 2010) (https://lirias.kuleuven.be/handle/123456789/296011)
Prüfungs­leistung:
Written examination
Lektor(en):

Publications

2021

2020

2019

2018

2017

2016

2015

2014

2012

2011

2010

2020

2019

  • Alhersh, T., Brahim Belhaouari, S. und Stuckenschmidt, H. (2019). Action recognition using local visual descriptors and inertial data. In , Ambient Intelligence : 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings (S. 123-138). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Alhersh, T. und Stuckenschmidt, H. (2019). On the combination of IMU and optical flow for action recognition. In , 2019 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) : 11-15 March 2019 in Kyoto, Japan (S. 17-21). , IEEE: Piscataway, NJ.
  • Alhersh, T. und Stuckenschmidt, H. (2019). Unsupervised fine-tuning of optical flow for better motion boundary estimation. In , Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : February 25-27, 2019, in Prague, Czech Republic ; Volume 5: VISAPP (S. 776-783). , SciTePress: Setúbal, Portugal.
  • Burzlaff, F. und Bartelt, C. (2019). A conceptual architecture for enabling future self-adaptive service systems. In , 52nd Hawaii International Conference on System Sciences, HICSS 2019, Grand Wailea, Maui, Hawaii, USA, January 8-11, 2019 (S. 1-10). , AISeL: Atlanta, GA.
  • Diete, A., Sztyler, T. und Stuckenschmidt, H. (2019). Vision and acceleration modalities: Partners for recognizing complex activities. In , 2019 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops) : took place 11-15 March 2019 in Kyoto, Japan (S. 101-106). , IEEE Computer Society: Piscataway, NJ.
  • Hulpus, I., Kobbe, J., Becker, M., Opitz, J., Hirst, G., Meilicke, C., Nastase, V., Stuckenschmidt, H. und Frank, A. (2019). Towards explaining natural language arguments with background knowledge. In , PROFILES-SEMEX 2019 : Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-loc. with 18th International Semantic Web Conference (ISWC 2019) Auckland, NZ, Oct. 27, 2019 (S. 62-77). CEUR Workshop Proceedings, RWTH: Aachen.
  • Hulpus, I., Štajner, S. und Stuckenschmidt, H. (2019). A spreading activation framework for tracking conceptual complexity of texts. In , 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 : Proceedings of the conference : July 28 - August 2, 2019, Florence, Italy (S. 3878-3887). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
  • Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H. und Frank, A. (2019). Exploiting background knowledge for argumentative relation classification. In , 2nd Conference on Language, Data and Knowledge (LDK 2019) (S. 8:1-8:14). OASIcs - OpenAccess Series in Informatics, Schloss Dagstuhl - Leibniz-Zentrum für Informatik: Wadern.
  • Meilicke, C., Chekol, M. W., Ruffinelli, D. und Stuckenschmidt, H. (2019). An introduction to AnyBURL. In , KI 2019: Advances in Artificial Intelligence : 42nd German Conference on AI, Kassel, Germany, September 23–26, 2019, proceedings (S. 244-248). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Meilicke, C., Chekol, M. W., Ruffinelli, D. und Stuckenschmidt, H. (2019). Anytime bottom-up rule learning for knowledge graph completion. In , Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) : August 10-16, 2019, Macao, China (S. 3137-3143). , IJCAI/AAAI Press: Menlo Park, CA.
  • Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). Enhancing a crowd-based delivery network with mobility predictions. In , PredictGIS'19 : Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility : Chicago, IL, USA, November 05, 2019 (S. 66-75). , ACM: New York, NY.
  • Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). iDropout: Leveraging deep taylor decomposition for the robustness of deep neural networks. In , On the Move to Meaningful Internet Systems: OTM 2019 Conferences : Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21–25, 2019, Proceedings (S. 113-126). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Schreckenberger, C., Beckmann, S. und Bartelt, C. (2019). Next place prediction: A systematic literature review. In , PredictGIS 2018 : Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility : ACM GIS 2018 Conference: November 6 - November 9, 2018, Seattle, Washington (S. 37-45). , ACM: New York, NY.
  • Schäfer, B. und Stuckenschmidt, H. (2019). Arrow R-CNN for flowchart recognition. In , 2019 International Conference on Document Analysis and Recognition workshops (ICDARW) : 22-25 Sept. 2019, Sydney, Australia (S. 7-13). , IEEE: Piscataway, NJ.
  • Theil, C. K., Broscheit, S. und Stuckenschmidt, H. (2019). PRoFET: Predicting the risk of firms from event transcripts. In , Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 (S. 5211-5217). , IJCAI/AAAI Press: Menlo Park, CA.

2018

2017

  • Acar, E., Greco, G. und Manna, M. (2017). Group reasoning in social environments. In , AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems : Sao Paulo, Brazil, May 8 - 12, 2017 (S. 1296-1304). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
  • Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jiménez-Ruiz, E., Kolthoff, K., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Mohammadi, M., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Thiéblin, E., Todorov, K., Trojahn, C. und Zamazal, O. (2017). Results of the Ontology Alignment Evaluation Initiative 2017. In , OM 2017 : Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 21, 2017 (S. 61-113). CEUR Workshop Proceedings, RWTH: Aachen.
  • Burzlaff, F. (2017). Knowledge-driven architecture composition. In , 47. Jahrestagung der Gesellschaft für Informatik, Informatik 2017, Chemnitz, Germany, September 25-29, 2017 (S. 2365-2370). Lecture Notes in Informatics, Gesellschaft für Informatik e.V.: Bonn.
  • Burzlaff, F. und Bartelt, C. (2017). Knowledge-driven architecture composition: Case-based formalization of integration knowledge to enable automated component coupling. In , ICSA 2017 : 2017 IEEE International Conference on Software Architecture : side track proceedings : proceedings : 3-7 April 2017, Gothenburg, Sweden (S. 108-111). , IEEE: Piscataway, NJ.
  • Chekol, M. (2017). Scaling probabilistic temporal query evaluation. In , Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 (S. 697-706). , ACM: New York, NY.
  • Chekol, M. W., Pirrò, G., Schönfisch, J. und Stuckenschmidt, H. (2017). Marrying uncertainty and time in knowledge graphs. In , Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence and the Twenty-Ninth Innovative Applications of Artificial Intelligence Conference : February 4–9, 2017, San Francisco, California USA (S. 88-94). , AAAI Press: San Francisco, CA.
  • Chekol, M. W., Pirrò, G., Schönfisch, J. und Stuckenschmidt, H. (2017). TeCoRe: temporal conflict resolution in knowledge graphs. In , Proceedings of the VLDB Endowment : 43. International Conference on Very Large Data Bases (S. Iss. 12, 1929-1932). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
  • Chekol, M. W. und Stuckenschmidt, H. (2017). Rule based temporal inference. In , Technical communications of the 33rd International Conference on Logic Programming : ICLP 2017, August 28-September 1, 2017, Melbourne, Australia (S. Article 4, 1-14). Open access series in informatics, Dagstuhl Publishing: Wadern.
  • Diete, A., Sztyler, T. und Stuckenschmidt, H. (2017). A smart data annotation tool for multi-sensor activity recognition. In , 2017 IEEE International Conference on Pervasive Computing and Communications Workshops : PERCOM Workshops (S. 111-116). , IEEE Computer Soc.: Piscataway, NJ.
  • Diete, A., Sztyler, T., Weiland, L. und Stuckenschmidt, H. (2017). Recognizing grabbing actions from inertial and video sensor data in a warehouse scenario. In , 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops (S. 16-23). Procedia computer science, Elsevier: Amsterdam [u.a.].
  • Kuss, E., Leopold, H., Meilicke, C. und Stuckenschmidt, H. (2017). Ranking-based evaluation of process model matching. In , On the Move to Meaningful Internet Systems. OTM 2017 Conferences : Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I (S. 298-305). Lecture Notes in Computer Science, Springer: Cham.
  • Kuss, E. und Stuckenschmidt, H. (2017). Automatic classification to matching patterns for process model matching evaluation. In , ER-Forum-Demos 2017 : proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017) Valencia, Spain, November 6-9, 2017 (S. 306-319). CEUR Workshop Proceedings, RWTH: Aachen.
  • Meilicke, C., Ruffinelli, D., Nolle, A., Paulheim, H. und Stuckenschmidt, H. (2017). Fast ABox consistency checking using incomplete reasoning and caching. In , Rules and Reasoning : International Joint Conference : RuleML+RR 2017, London, UK, July 12-15, 2017, Proceedings (S. 168-183). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Nisioi, S., Štajner, S., Ponzetto, S. P. und Dinu, L. P. (2017). Exploring neural text simplification models. In , The 55th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 (S. 85-91). , Association for Computational Linguistics: Stroudsburg, PA.
  • Primpeli, A., Meusel, R., Bizer, C. und Stuckenschmidt, H. (2017). The Web Data Commons structured data extraction. In , E-Science-Tage 2017: Forschungs­daten managen (S. 1). , Heidelberg University: Heidelberg.
  • Ruffinelli, D. (2017). Towards scalable ontological reasoning using machine learning. In , RuleML+RR 2017 : Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters (at) RuleML+RR 2017 hosted by International Joint Conference on Rules and Reasoning 2017 (RuleML+RR 2017) London, UK, July 11-15, 2017 (S. Paper 5). CEUR Workshop Proceedings, RWTH: Aachen.
  • Sztyler, T. (2017). Towards real world activity recognition from wearable devices. In , 2017 IEEE International Conference on Pervasive Computing and Communications Workshops : PERCOM Workshops (S. 97-98). , IEEE Computer Society: Piscataway, NJ.
  • Sztyler, T. und Stuckenschmidt, H. (2017). Online personalization of cross-subjects based activity recognition models on wearable devices. In , PerCom 2017 : The Fifteenth Annual IEEE International Conference on Pervasive Computing and Communications : March 13-17, 2017, Big Island, HI, USA (S. 180-189). , IEEE Computer Society: Piscataway, NJ.
  • Štajner, S., Franco-Salvador, M., Ponzetto, S. P., Rosso, P. und Stuckenschmidt, H. (2017). Sentence alignment methods for improving text simplification systems. In , The 55th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 (S. 97-102). , Association for Computational Linguistics: Stroudsburg, PA.
  • Štajner, S., Glavaš, G., Ponzetto, S. P. und Stuckenschmidt, H. (2017). Domain adaptation for automatic detection of speculative sentences. In , IEEE 11th International Conference on Semantic Computing ICSC 2017 : 30 January - 1 February 2017, San Diego, California : proceedings (S. 164-171). , IEEE Computer Society: Los Alamitos, CA [u.a.].
  • Štajner, S., Ponzetto, S. P. und Stuckenschmidt, H. (2017). Automatic assessment of absolute sentence complexity. In , Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) : Melbourne, Australia 19-25 August 2017 (S. 4096-4102). , International Joint Conferences on Artificial Intelligence: Melbourne.

2016

  • Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jiménez-Ruiz, E., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Todorov, K., Trojahn, C. und Zamazal, O. (2016). Results of the Ontology Alignment Evaluation Initiative 2016. In , OM 2016 : proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 18, 2016 (S. 73-129). CEUR Workshop Proceedings, RWTH: Aachen.
  • Chekol, M. (2016). On the containment of SPARQL queries under entailment regimes. In , Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence and the Twenty-Eighth Innovative Applications of Artificial Intelligence Conference, February 12-17, 2016, Phoenix, Arizona, USA (S. 936-942). , AAAI Press: Palo Alto, Calif..
  • Chekol, M. W., Huber, J., Meilicke, C. und Stuckenschmidt, H. (2016). Markov logic networks with numerical constraints. In , ECAI 2016 : 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands : including Prestigious applications of intelligent systems (PAIS 2016) : proceedings (S. 1017-1025). Frontiers in Artificial Intelligence and Applications, IOS Press BV: Amsterdam.
  • Chekol, M. W. und Pirrò, G. (2016). Containment of expressive SPARQL navigational queries. In , The Semantic Web – ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I (S. 86-101). Lecture Notes in Computer Science, Springer: Cham.
  • Chekol, M. W. und Stuckenschmidt, H. (2016). Uncertain temporal knowledge graphs. In , URSW 2016 : Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 17, 2016 (S. 1-12). CEUR Workshop Proceedings, RWTH: Aachen.
  • Diete, A., Sztyler, T., Weiland, L. und Stuckenschmidt, H. (2016). Exploring a multi-sensor picking process in the future warehouse. In , UbiComp/ISWC'16 Adjunct : Adjunct proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers (S. 1755-1758). , ACM: New York, NY.
  • Kuss, E., Leopold, H., Van der Aa, H., Stuckenschmidt, H. und Reijers, H. A. (2016). Probabilistic evaluation of process model matching techniques. In , Conceptual modeling : 35th international conference, ER 2016, Gifu, Japan, November 14-17, 2016 : proceedings (S. 279-292). Lecture Notes in Computer Science, Springer: Cham.
  • Nanni, F., Zirn, C., Glavaš, G., Eichorst, J. und Ponzetto, S. P. (2016). TopFish: topic-based analysis of political position in US electoral campaigns. In , PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020 (S. 61-67). , University of Zagreb: Zagreb.
  • Nolle, A., Meilicke, C., Chekol, M. W., Nemirovski, G. und Stuckenschmidt, H. (2016). Schema-based debugging of federated data sources. In , ECAI 2016 : 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands : including Prestigious applications of intelligent systems (PAIS 2016) : proceedings (S. 381-389). Frontiers in Artificial Intelligence and Applications, IOS Press BV: Amsterdam.
  • Paulheim, H. und Stuckenschmidt, H. (2016). Fast approximate A-box consistency checking using machine learning. In , The Semantic Web. Latest Advances and New Domains : 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 2016, Proceedings (S. 135-150). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Popović, M. und Štajner, S. (2016). Machine translation evaluation metrics for quality assessment of automatically simplified sentences. In , qats2016 : LREC 2016 Workshop & Shared Task on Quality Assessment for Text Simplification (QATS), 28th May 2016, Portorož, Slovenia ; proceedings (S. 32-37). , ELRA-ERDA: Paris.
  • Potyka, N., Acar, E., Thimm, M. und Stuckenschmidt, H. (2016). Group decision making via probabilistic belief merging. In , Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 (S. 3623-3629). , IJCAI/AAAI Press: New York, NY.
  • Riboni, D., Sztyler, T., Civitarese, G. und Stuckenschmidt, H. (2016). Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning. In , UbiComp '16 : proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing : Sep. 12-16, co-located with the International Symposium on Wearable Computers (ISWC) 2016 (S. 1-12). , ACM: New York, NY.
  • Rodrigues, J., Gomes, L., Neale, S., Querido, A., Rendeiro, N., Štajner, S., Silva, J. und Branco, A. (2016). Domain-specifichHybridmMachine translation from English to Portuguese. In , Computational Processing of the Portuguese Language : 12th International Conference, PROPOR 2016, Tomar, Portugal, July 13-15, 2016, Proceedings (S. 50-61). Lecture Notes in Computer Science, Springer: Cham.
  • Rodrigues, J., Rendeiro, N., Querido, A., Štajner, S. und Branco, A. (2016). Bootstrapping a Hybrid MT System to a new language pair. In , Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) : May 23-28, 2016, Portorož, Slovenia (S. 2762-2765). , ELRA: Paris.
  • Schönfisch, J. und Stuckenschmidt, H. (2016). Analyzing real-world SPARQL queries in the light of probabilistic data. In , URSW 2016 : Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 17, 2016 (S. 13-23). CEUR Workshop Proceedings, RWTH: Aachen.
  • Schönfisch, J., von Stülpnagel, J., Ortmann, J., Meilicke, C. und Stuckenschmidt, H. (2016). Root cause analysis through abduction in Markov logic networks. In , 2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC), EDOC 2016 : proceedings, 5–9 September 2016, Vienna, Austria (S. 1-13). , IEEE Computer Society Conference Publishing Services ; Curran: Washington, DC ; Red Hook, NY.
  • Stuckenschmidt, H., Ponzetto, S. P. und Meilicke, C. (2016). Detecting meaningful compounds in complex class labels. In , Knowledge Engineering and Knowledge Management : 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, proceedings (S. 621-635). Lecture Notes in Computer Science, Springer: Cham.
  • Sztyler, T. und Stuckenschmidt, H. (2016). On-body localization of wearable devices : an investigation of position-aware activity recognition. In , 2016 IEEE International Conference on Pervasive Computing and Communications : PerCom 2016, Sydney, Australia, March 14-19, 2016 (S. 1-9). , IEEE Computer Society: Piscataway, NJ.
  • Thorne, C., Faralli, S. und Stuckenschmidt, H. (2016). Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation. In , SEMANTiCS 2016 : 12th International Conference on Semantic Systems : Leipzig, Germany September 12 - 15, 2016 : proceedings (S. 169-172). , ACM: New York, NY.
  • Zirn, C., Glavaš, G., Nanni, F., Eichorts, J. und Stuckenschmidt, H. (2016). Classifying topics and detecting topic shifts in political manifestos. In , PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020 (S. 88-93). , University of Zagreb: Zagreb.
  • Štajner, S., Baerg, N., Ponzetto, S. P. und Stuckenschmidt, H. (2016). Automatic detection of speculation in policy statements. In , NLP+CSS workshop at Web Science 2016 : May 22, 2016, Hannover, Germany : accepted papers (S. 1-5). , ACM: New York, NY.
  • Štajner, S., Popović, M. und Béchara, H. (2016). Quality estimation for text simplification. In , qats2016 : LREC 2016 Workshop & Shared Task on Quality Assessment for Text Simplification (QATS), 28th May 2016, Portorož, Slovenia ; proceedings (S. 15-21). , ELRA-ERDA: Paris.
  • Štajner, S., Popović, M., Saggion, H., Specia, L. und Fishel, M. (2016). Shared task on quality assessment for text simplification. In , qats2016 : LREC 2016 Workshop & Shared Task on Quality Assessment for Text Simplification (QATS), 28th May 2016, Portorož, Slovenia ; proceedings (S. 22-31). , ELRA-ERDA: Paris.
  • Štajner, S., Querido, A., Rendeiro, N., Rodrigues, J. und Branco, A. (2016). Use of domain-specific language resources in machine translation. In , Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) : May 23-28, 2016, Portorož, Slovenia (S. 592-598). , ELRA: Paris.

2015

  • Acar, E., Fink, M., Meilicke, C. und Stuckenschmidt, H. (2015). uDecide: A protégé plugin for multiattribute decision making. In , K-CAP 2015 : Proceedings of the 8th International Conference on Knowledge Capture, Palisades, NY, USA, October 7-10, 2015 (S. Article 23). , ACM: New York, NY.
  • Acar, E., Thorne, C. und Stuckenschmidt, H. (2015). Towards decision making via expressive probabilistic ontologies. In , Algorithmic Decision Theory : 4th International Conference, ADT 2015, Lexington, KY, USA, September 27-30, 2015, Proceedings (S. 52-68). Lecture Notes in Computer Science, Springer: Cham.
  • Antunes, G., Bakhshandeh, M., Borbinha, J., Cardoso, J., Dadashnia, S., Di Francescomarino, C., Dragoni, M., Fettke, P., Gal, A., Ghidini, C., Hake, P., Khiat, A., Klinkmüller, C., Kuss, E., Leopold, H., Loos, P., Meilicke, C., Niesen, T., Pesquita, C., Péus, T., Schoknecht, A., Sheetrit, E., Sonntag, A., Stuckenschmidt, H., Thaler, T., Weber, I. und Weidlich, M. (2015). The Process Model Matching Contest 2015. In , Enterprise modelling and information systems architectures : proceedings of the 6th International Workshop on Enterprise Modelling and Information Systems Architectures, September 3-4, 2015 Innsbruck, Austria (S. 127-155). GI-Edition : Lecture Notes in Informatics. Proceedings, Geellschaft für Informatik: Bonn.
  • Bosch, T., Acar, E., Nolle, A. und Eckert, K. (2015). The role of reasoning for RDF validation. In , Semantics 2015 : Proceedings of the 11th International Conference on Semantic Systems, Vienna, Austria, September 15-17, 2015 (S. 33-40). , ACM: New York, NY.
  • Chekol, M. W., Huber, J., Meilicke, C. und Stuckenschmidt, H. (2015). Probabilistic EL++ with nominals and concrete domains. In , Working Papers of the IJCAI-2015 Workshop on Weighted Logics for Artificial Intelligence WL4AI-2015, July 27, 2015, Buenos Aires (Argentina) (S. 80-87). , University of Sao Paulo: Sao Paulo.
  • Debus, M., Stuckenschmidt, H. und Wessler, H. (2015). On the use of different modalities in political communication: evidence from German election manifestos. In , Building bridges for multimodal research : international perspectives on theories and practices of multimodal analysis (S. 211-225). Sprache - Medien - Innovationen, Lang: Frankfurt a. M..
  • Dutta, A., Meilicke, C. und Stuckenschmidt, H. (2015). Enriching structured knowledge with open information. In , Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015 (S. 267-277). , ACM: New York, NY.
  • Knip, F., Bikar, C., Pfister, B., Opitz, B., Sztyler, T., Jess, M. und Scherp, A. (2015). Investigating the usability of a mobile app for finding and exploring places and events. In , Ambient media usability, interaction, and smart media technologies : 7th International Workshop on Semantic Ambient Media Experiences (SAME 2014) ; Helsinki, Finland, 26 October 2014 (S. 6-10). International Series on Information Systems and Management in Creative Emedia, Curran: Red Hook, NY.
  • Kolthoff, K. und Dutta, A. (2015). Semantic relation composition in large scale knowledge bases. In , Linked Data for Information Extraction : Proceedings of the Third International Workshop on Linked Data for Information Extraction (LD4IE2015) co-loc. with the 14th International Semantic Web Conference (ISWC 2015) ; Bethlehem, PA, USA, Oct. 12, 2015 (S. 34-47). CEUR Workshop Proceedings, RWTH: Aachen.
  • Leopold, H., Meilicke, C., Fellmann, M., Pittke, F., Stuckenschmidt, H. und Mendling, J. (2015). Towards the automated annotation of process models. In , Advanced Information Systems Engineering : 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, Proceedings (S. 401-416). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Meilicke, C. und Stuckenschmidt, H. (2015). A new paradigm for alignment extraction. In , OM 2015 : Proceedings of the 10th International Workshop on Ontology Matching collocated with the 14th International Semantic Web Conference (ISWC 2015) Bethlehem, PA, USA, October 12, 2015 (S. 1-12). CEUR Workshop Proceedings, RWTH: Aachen.
  • Meilicke, C., Trojahn, C., Svab-Zamazal, O. und Ritze, D. (2015). Multilingual ontology matching evaluation - a first report on using multifarm. In , The Semantic Web: ESWC 2012 Satellite Events : ESWC 2012 Satellite Events, Heraklion, Crete, Greece, May 27-31, 2012. Revised Selected Papers (S. 132-147). Lecture Notes in Computer Science, Springer: Berlin ; Heidelberg.
  • Opitz, B., Sztyler, T., Jess, M., Knip, F., Bikar, C., Pfister, B. und Scherp, A. (2015). On-the-fly entity resolution from distributed social media sources for mobile search and exploration. In , MUM '15 : proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, November 30 - December 2, 2015, Linz, Austria (S. 14-24). , ACM: New York, NY.
  • Ponzetto, S. P., Wessler, H., Weiland, L., Kopf, S., Effelsberg, W. und Stuckenschmidt, H. (2015). Automatic classification of iconic images based on a multimodal model : an interdisciplinary project. In , Building bridges for multimodal research : international perspectives on theories and practices of multimodal analysis (S. 193-210). Sprache - Medien - Innovationen, Peter Lang Edition: Frankfurt am Main ; Bern; Wien.
  • Riboni, D., Bettini, C., Civitarese, G., Janjua, Z. H. und Helaoui, R. (2015). Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment. In , 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom 2015) : St. Louis, Missouri, USA, 23 - 27 March 2015 (S. 149-154). , IEEE: Piscataway, NJ.
  • Schönfisch, J. und Stuckenschmidt, H. (2015). Towards large-scale probabilistic OBDA. In , Scalable Uncertainty Management : 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015 : Proceedings (S. 106-120). Lecture Notes in Computer Science, Springer: Cham.
  • Sztyler, T., Völker, J., Carmona, J., Meier, O. und Stuckenschmidt, H. (2015). Discovery of personal processes from labeled sensor data - an application of process mining to personalized health care. In , ATAED 2015 Algorithms & Theories for the Analysis of Event Data : Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data, Satellite event of the conferences: Petri Nets 2015 and ACSD 2015, Brussels, Belgium (S. 31-46). CEUR Workshop Proceedings, RWTH: Aachen.
  • Zirn, C., Meusel, R. und Stuckenschmidt, H. (2015). Lost in discussion? - Tracking opinion groups in complex political discussions by the example of the FOMC meeting transcriptions. In , International Conference Recent Advances in Natural Language Processing 2015 : Proceedings : 5 - 11 September 2015, Hissar, Bulgaria (S. 747-753). , INCOMA Ltd.: Shoumen, Bulgaria.

2014

  • Acar, E. (2014). Computing Subjective Expected Utility using Probabilistic Description Logics. In , STAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium (S. 21-30). Frontiers in Artificial Intelligence and Applications, IOS Press: Clifton, Va. [u.a.].
  • Acar, E. und Meilicke, C. (2014). Multi-Attribute Decision Making using Weighted Description Logics. In , PRUV 2014 : Proceedings of the First Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness co-located with 7th International Joint Conference on Automated Reasoning (IJCAR 2014) Vienna, Austria, July 23-24, 2014 (S. 1-14). CEUR Workshop Proceedings, RWTH: Aachen.
  • Berg, N. R., Lowe, W., Ponzetto, S. P., Stuckenschmidt, H. und Zirn, C. (2014). Estimating central bank preferences. In , NLP Unshared Task in PoliInformatics : June 2014 (S. 1-6). , PoliInformatics Research Coordination Network (PInet): Washington, DC.
  • Bühmann, L., Fleischhacker, D., Lehmann, J., Melo, A. und Völker, J. (2014). Inductive Lexical Learning of Class Expressions. In , Knowledge Engineering and Knowledge Management : 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014, Proceedings (S. 42-53). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Dietz, L., Schuhmacher, M. und Ponzetto, S. P. (2014). Queripidia: Query-specific Wikipedia Construction. In , AKBC 2014 4th Workshop on Automated Knowledge Base Construction (AKBC) 2014 at NIPS 2014 in Montreal, Canada, December 13, 2014 (S. 1-5). , AKBC: Montréal.
  • Dutta, A. (2014). Integration of Large Scale Knowledge Bases using Probabilistic Graphical Models. In , WSDM'14 : proceedings of the 7th ACM International Conference on Web Search and Data Mining; February 24 - 28, 2014, New York, NY, USA (S. 643-648). , ACM: New York, NY.
  • Dutta, A., Meilicke, C. und Ponzetto, S. P. (2014). A Probabilistic Approach for Integrating Heterogeneous Knowledge Sources. In , The Semantic Web: Semantics and Big Data : 11th International Conference, ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Proceedings (S. 286-301). Lecture Notes in Computer Science, Springer International Publ.: Cham.
  • Dutta, A., Meilicke, C. und Stuckenschmidt, H. (2014). Semantifying triples from open information extraction systems. In , STAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium (S. 111-120). Frontiers in Artificial Intelligence and Applications, IOS Press: Clifton, Va. [u.a.].
  • Dutta, A. und Schuhmacher, M. (2014). Entity Linking for Open Information Extraction. In , Natural Language Processing and Information Systems : 19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014, Montpellier, France, June 18-20, 2014. Proceedings (S. 75-80). Lecture Notes in Computer Science, Springer Internat. Publ.: Cham.
  • Fleischhacker, D. (2014). Repairing Learned Ontologies. In , WoDOOM 2014 : Proceedings of the Third International Workshop on Debugging Ontologies and Ontology Mappings co-located with 11th Extended Semantic Web Conference (ESWC 2014) Anissaras/Hersonissou, Greece, May 26, 2014 (S. 15-26). CEUR Workshop Proceedings, RWTH: Aachen.
  • Fleischhacker, D., Paulheim, H., Bryl, V., Völker, J. und Bizer, C. (2014). Detecting Errors in Numerical Linked Data Using Cross-Checked Outlier Detection. In , The Semantic Web – ISWC 2014 : 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I (S. 357-372). Lecture Notes in Computer Science, Springer Internat. Publ.: Cham.
  • Huber, J., Meilicke, C. und Stuckenschmidt, H. (2014). Applying Markov logic for debugging probabilistic temporal knowledge bases. In , AKBC 2014 : 4th Workshop on Automated Knowledge Base Construction (AKBC) 2014 at NIPS 2014 in Montreal, Canada, December 13, 2014 (S. 1-6). , ACM: New York, NY.
  • Knip, F., Bikar, C., Pfister, B., Opitz, B., Sztyler, T., Jess, M. und Scherp, A. (2014). A field study on the usability of a nearby search app for finding and exploring places and events. In , MUM 2014 : proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia : 25-27 November, Melbourne, Australia (S. 123-132). , ACM: New York, NY.
  • Melo, A., Theobald, M. und Völker, J. (2014). Correlation-based Refinement of Rules with Numerical Attributes. In , Proceedings of the twenty-seventh International Conference of the Florida Artificial Intelligence Research Society (FLAIRS) : May 21 - 23, 2014 Pensacola Beach, Florida, USA (S. 345-350). , AAAI Press: Palo Alto, Calif..
  • Noessner, J., Stuckenschmidt, H., Meilicke, C. und Niepert, M. (2014). Completeness and optimality in ontology alignment debugging. In , OM-2014 : Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Trentino, Italy, October 20, 2014 (S. 25-36). CEUR Workshop Proceedings, RWTH: Aachen.
  • Nolle, A., Meilicke, C., Stuckenschmidt, H. und Nemirovski, G. (2014). Efficient federated debugging of lightweight ontologies. In , Web Reasoning and Rule Systems : 8th International Conference, RR 2014, Athens, Greece, September 15-17, 2014. Proceedings (S. 206-215). Lecture Notes in Computer Science, Springer Internat. Publ.: Cham.
  • Schuhmacher, M. und Meilicke, C. (2014). Popular Books and Linked Data: Some Results for the ESWC’14 RecSys Challenge. In , Semantic Web Evaluation Challenge : SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers (S. 176-181). Communications in Computer and Information Science, Springer: Berlin [u.a.].
  • Schuhmacher, M. und Ponzetto, S. P. (2014). Ranking Entities in a Large Semantic Network. In , The Semantic Web: ESWC 2014 Satellite Events : ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers (S. 254-258). Lecture Notes in Computer Science, Springer: Cham.
  • Schönfisch, J. (2014). Querying Probabilistic Ontologies with SPARQL. In , Informatik 2014 - Big Data - Komplexität meistern; Tagung vom 22.-26. September 2014 in Stuttgart (S. 2245-2256). GI-Edition : Lecture Notes in Informatics. Proceedings, Köllen: Bonn.
  • von Stülpnagel, J., Ortmann, J. und Schönfisch, J. (2014). IT Risk Management with Markov Logic Networks. In , Advanced Information Systems Engineering : 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014, Proceedings (S. 301-315). Lecture Notes in Computer Science, Springer Internat. Publ.: Cham.
  • Sztyler, T., Huber, J., Noessner, J., Murdock, J., Allen, C. und Niepert, M. (2014). LODE: Linking digital humanities content to the web of data. In , 2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL) : 8th to 12th September 2014 ; City University London, London, United Kingdom (S. 423-424). , IEEE: Piscataway, NJ.
  • Zirn, C., Schäfer, M., Strube, M., Ponzetto, S. P. und Stuckenschmidt, H. (2014). Exploring structural features for position analysis in political discussions. In , NLP Unshared Task in PoliInformatics : June 2014 (S. 1-5). , PoliInformatics Research Coordination Network (PInet): Washington, DC.

2013

2012

  • Aguirre, J. L., Eckert, K., Euzenat, J., Ferrara, A., van Hage, W., Hollink, L., Meilicke, C., Nikolov, A., Ritze, D., Scharffe, F., Shvaiko, P., Svab-Zamazal, O., Trojahn, C., Jiménez-Ruiz, E., Grau, B. C. und Zapilko, B. (2012). Results of the Ontology Alignment Evaluation Initiative 2012. In , OM-2012 Ontology Matching : Proceedings of the 7th International Workshop on Ontology Matching (OM-2012) collocated with the 11th International Semantic Web Conference (ISWC-2012) Boston, MA, USA, November 11, 2012 (S. 1-43). CEUR Workshop Proceedings, RWTH: Aachen.
  • Duan, H. und Zirn, C. (2012). Can We Identify Manipulative Behavior and the Corresponding Suspects on Review Websites Using Supervised Learning? In , Secure IT Systems : 17th Nordic Conference, NordSec 2012, Karlskrona, Sweden, October 31 - November 2, 2012. Proceedings (S. 215-230). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Fleischhacker, D., Völker, J. und Stuckenschmidt, H. (2012). Mining RDF Data for Property Axioms. In , On the Move to Meaningful Internet Systems: OTM 2012 : Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2012. Proceedings, Part II (S. 718-735). Lecture Notes in Computer Science, Springer: Berlin ; Heidelberg.
  • Helaoui, R., Riboni, D., Niepert, M., Bettini, C. und Stuckenschmidt, H. (2012). Towards Activity Recognition Using Probabilistic Description Logics. In , Activity context representation: techniques and languages : papers from the 2012 AAAI Workshop ; [held Monday, July 23, 2012 in Toronto, Ontario, Canada] (S. 26-31). Technical report : WS / Association for the Advancement of Artificial Intelligence, AAAI Press: Palo Alto, Calif..
  • Janssen, F., Fallahi, F., Noessner, J. und Paulheim, H. (2012). Towards Rule Learning Approaches to Instance-based Ontology Matching. In , KNOW(at)LOD 2012, Knowledge Discovery and Data Mining Meets Linked Open Data : proceedings of the First International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (S. 13-18). CEUR Workshop Proceedings, RWTH: Aachen.
  • Leopold, H., Niepert, M., Weidlich, M., Mendling, J., Dijkman, R. und Stuckenschmidt, H. (2012). Probabilistic Optimization of Semantic Process Model Matching. In , Business Process Management : 10th International Conference, BPM 2012; proceedings (S. 319-334). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Meilicke, C., Trojahn, C., Svab-Zamazal, O. und Ritze, D. (2012). Multilingual ontology matching evaluation - a first report on using multifarm. In , IWEST 2012 : Proceedings of the Second International Workshop on Evaluation of Semantic Technologies (IWEST 2012), Workshop at the 9th Extended Semantic Web Conference (ESWC2012) Heraklion, Greece, May 28, 2012 (S. 1-12). CEUR Workshop Proceedings, RWTH: Aachen.
  • Niepert, M. (2012). Markov Chains on Orbits of Permutation Groups. In , Uncertainty in Artificial Intelligence : proceedings of the 28th conference (S. 624-633). , AUAI Press: Corvallis, Or..
  • Niepert, M., Meilicke, C. und Stuckenschmidt, H. (2012). Towards Distributed MCMC Inference in Probabilistic Knowledge Bases. In , Joint Workshop on Automatic Knowledge Base Construction and Web-Scale 2012 : (AKBC-WEKEX 2012) ; held at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2012) (S. 1-6). , Curran: Red Hook, NY.
  • Stuckenschmidt, H., Noessner, J. und Fallahi, F. (2012). A Study in User-Centric Data Integration (Best Paper Award). In , Proceedings of the 14th International Conference on Enterprise Information Systems (S. 5-14). , SciTePress: Setubal, Portugal .
  • Stuckenschmidt, H. und Zirn, C. (2012). Multi-dimensional Analysis of Political Documents. In , Natural Language Processing and Information Systems : 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, Groningen, The Netherlands, June 26-28, 2012. Proceedings (S. 11-22). Lecture Notes in Computer Science, Springer: Berlin [u.a.].

2011

  • Euzenat, J., Ferrara, A., van Hage, W., Hollink, L., Meilicke, C., Nikolov, A., Scharffe, F., Shvaiko, P., Stuckenschmidt, H., Svab-Zamazal, O. und Trojahn, C. (2011). Results of the Ontology Alignment Evaluation Initiative 2011 (Final). In , OM 2011 : Proceedings of the 6th International Workshop on Ontology Matching, In conjunction with the International Semantic Web Conference (ISWC2011) Bonn, Germany, October 24, 2011 (S. Paper 0). CEUR Workshop Proceedings, RWTH: Aachen.
  • Ferrara, A., Montanelli, S., Noessner, J. und Stuckenschmidt, H. (2011). Benchmarking Matching Applications on the Semantic Web. In , The Semanic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, May 29 – June 2, 2011, Proceedings, Part II (S. 108-122). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Fleischhacker, D. (2011). Enriching Ontologies by Learned Negation : Or How to Teach Ontologies Vegetarianism. In , The Semanic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, Proceedings, Part II (S. 508-512). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Fleischhacker, D. und Völker, J. (2011). Inductive Learning of Disjointness Axioms. In , On the Move to Meaningful Internet Systems: OTM 2011 : Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2011, Hersonissos, Crete, Greece, October 17-21, 2011, Proceedings, Part II (S. 680-697). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Helaoui, R., Niepert, M. und Stuckenschmidt, H. (2011). Recognizing Interleaved and Concurrent Activities: A Statistical-Relational Approach. In , 2011 IEEE International Conference on Pervasive Computing and Communications : proceedings (S. 1-9). , IEEE Press: New York, NY [u.a.].
  • Huber, J., Sztyler, T., Noessner, J. und Meilicke, C. (2011). CODI: Combinatorial Optimization for Data Integration – Results for OAEI 2011. In , OM 2011 : Proceedings of the 6th International Workshop on Ontology Matching, In conjunction with the International Semantic Web Conference (ISWC2011) Bonn, Germany, October 24, 2011 (S. 134-141). CEUR Workshop Proceedings, RWTH: Aachen.
  • Knopp, J. (2011). Extending a multilingual lexical resource by bootstrapping named entity classification using Wikipedia's category system. In , Proceedings of the Fifth International Workshop On Cross Lingual Information Access (S. 35-43). , Asian Federation of Natural Language Processing: Chiang Mai, Thailand.
  • Niepert, M., Noessner, J., Meilicke, C. und Stuckenschmidt, H. (2011). Probabilistic-Logical Web Data Integration. In , Reasoning Web. Semantic Technologies for the Web of Data : 7th International Summer School 2011, Galway, Ireland, August 23-27, 2011, Tutorial Lectures (S. 504-533). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Niepert, M., Noessner, J. und Stuckenschmidt, H. (2011). Log-Linear Description Logics. In , Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 11) (S. 2153-2158). , AAAI Press: Menlo Park, Calif..
  • Noessner, J. und Niepert, M. (2011). ELOG: A Probabilistic Reasoner for OWL EL. In , Web Reasoning and Rule Systems : 5th International Conference, RR 2011, Galway, Ireland; proceedings (S. 281-286). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Noessner, J., Niepert, M. und Stuckenschmidt, H. (2011). Coherent Top-k Ontology Alignment for OWL EL. In , Scalable Uncertainty Management : 5th International Conference, SUM 2011, Dayton, OH, USA; proceedings (S. 415-427). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Ritze, D. und Paulheim, H. (2011). Towards an Automatic Parameterization of Ontology Matching Tools based on Example Mappings. In , Proceedings of the 6th International Workshop on Ontology Matching (OM-2011) (S. Paper 4). CEUR Workshop Proceedings, RWTH: Aachen.
  • Schlicht, A. und Stuckenschmidt, H. (2011). MapResolve. In , Web Reasoning and Rule Systems : 5th International Conference, RR 2011, Galway, Ireland, August 29-30, 2011; Proceedings (S. 294-299). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Stuckenschmidt, H. (2011). A Little Logic Goes A Long Way. In , Description Logics : Proceedings of the 24th International Workshop on Description Logics (DL 2011), Barcelona, Spain, July 13-16, 2011 (S. Paper 3). CEUR Workshop Proceedings, RWTH: Aachen.
  • Völker, J. und Niepert, M. (2011). Statistical Schema Induction. In , The Semantic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, Proceedings, Part I (S. 124-138). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Zirn, C., Niepert, M., Stuckenschmidt, H. und Strube, M. (2011). Fine-Grained Sentiment Analysis with Structural Features. In , Proceedings of the 5th International Joint Conference on Natural Language Processing (S. 336-344). , Asian Federation of Natural Language Processing: Chiang Mai.

2010

  • Eckert, K., Niepert, M., Niemann, C., Buckner, C., Allen, C. und Stuckenschmidt, H. (2010). Crowdsourcing the assembly of concept hierarchies. In , JCDL'10 : digital libraries : 10 years past, 10 years forward, a 2020 vision (S. 139-148). , ACM Press: New York, NY.
  • Eckert, K., Pfeffer, M. und Völker, J. (2010). Towards interoperable metadata provenance. In , SWPM 2010 : Proceedings of the Second International Workshop on the Role of Semantic Web in Provenance Management : Workshop at the 9th International Semantic Web Conference (ISWC2010) - ISWC 2010 Workshops Volume VII, Shanghai, China, November 7, 2010 (S. 1-6). CEUR Workshop Proceedings, RWTH: Aachen.
  • Euzenat, J., Ferrara, A., Meilicke, C., Nikolov, A., Pane, J., Scharffe, F., Shvaiko, P., Stuckenschmidt, H., Svab-Zamazal, O., Svatek, V. und Trojahn, C. (2010). Results of the Ontology Alignment Evaluation Initiative 2010. In , OM-2010 : Proceedings of the 5th International Workshop on Ontology Matching (OM-2010) collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010 (S. Paper 0). CEUR Workshop Proceedings, RWTH: Aachen.
  • Euzenat, J., Meilicke, C., Stuckenschmidt, H. und Trojahn, C. (2010). A web-based evaluation service for Ontology Matching. In , ISWC-2010 Posters&Demos : Proceedings of the ISWC 2010, Posters & Demonstrations Track: Collected Abstracts; Shanghai, China, November 9, 2010 (S. 93-96). CEUR Workshop Proceedings, RWTH: Aachen.
  • Fleischhacker, D. und Stuckenschmidt, H. (2010). A practical implementation of semantic precision and recall. In , 2010 International Conference on Complex, Intelligent and Software Intensive Systems : (CISIS 2010) ; Krakow, Poland, 15 - 18 February 2010 (S. 986-991). , IEEE Computer Soc.: Piscataway, NJ.
  • Freitas, F., Candeias, Z. und Stuckenschmidt, H. (2010). A new usage for semantic technologies for e-government: checking official documents’ consistency. In , The proceedings of the 10th European Conference on eGovernment : National Centre for Taxation Studies and University of Limerick, Ireland, 17 - 18 June 2010 (S. 167-175). , Academic Publ.: Reading .
  • Glimm, B., Rudolph, S. und Völker, J. (2010). Integrated metamodeling and diagnosis in OWL 2. In , The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I (S. 257-272). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Helaoui, R. (2010). Towards a proactive system based on activity recognition. In , 2010 8th IEEE International Conference on Pervasive Computing and Communications workshops : PerCom workshops 2010 ; Mannheim, Germany, 29 March - 2 April 2010 (S. 849-850). , IEEE Press: New York, NY [u.a.].
  • Helaoui, R., Niepert, M. und Stuckenschmidt, H. (2010). A statistical-relational activity recognition framework for ambient assisted living systems. In , Ambient Intelligence and Future Trends - International Symposium on Ambient Intelligence (ISAmI 2010) : Guimarães, Portugal, 16-18 June 2010 (S. 247-254). Advances in Intelligent and Soft Computing, Springer: Berlin [u.a.].
  • Knechtel, M. und Stuckenschmidt, H. (2010). Query-based access control for ontologies. In , Web Reasoning and Rule Systems : Fourth International Conference, RR 2010, Bressanone/Brixen, Italy, September 22-24, 2010; proceedings (S. 73-87). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Markotschi, T. und Völker, J. (2010). GuessWhat?! Human intelligence for mining linked data. In , KIELD 2010 : Proceedings of the 1st Workshop on Knowledge Injection into and Extraction from Linked Data; Lisbon, Portugal, October 15, 2010 (S. 28-39). CEUR Workshop Proceedings, RWTH: Aachen.
  • Meusel, R., Niepert, M., Eckert, K. und Stuckenschmidt, H. (2010). Thesaurus extension using web search engines. In , The Role of Digital Libraries in a Time of Global Change : 12th International Conference on Asia-Pacific Digital Libraries, ICADL 2010, Gold Coast, Australia, June 21-25, 2010; proceedings (S. 198-207). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Niepert, M. (2010). A delayed column generation strategy for exact k-bounded MAP inference in Markov logic networks. In , Uncertainty in artificial intelligence : proceedings of the twenty-sixth conference (2010) ; July 8 - 11, 2010, Avalon, CA (S. 384-391). , AUAI Press: Corvallis, OR.
  • Niepert, M., Meilicke, C. und Stuckenschmidt, H. (2010). A probabilistic-logical framework for ontology matching. In , Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence and the Twenty-Second Innovative Applications of Artificial Intelligence Conference : 11 - 15 July 2010, Atlanta, Georgia, USA (S. 1413-1418). , AAAI Press: Menlo Park, CA.
  • Noessner, J. und Niepert, M. (2010). CODI: Combinatorial Optimization for Data Integration - Results for OAEI 2010. In , OM-2010 : Proceedings of the 5th International Workshop on Ontology Matching (OM-2010) collocated with the 9th International Semantic Web Conference (ISWC-2010) Shanghai, China, November 7, 2010 (S. 142-149). CEUR Workshop Proceedings, RWTH: Aachen.
  • Noessner, J., Niepert, M., Meilicke, C. und Stuckenschmidt, H. (2010). Leveraging terminological structure for object reconciliation. In , The Semantic Web: Research and Applications : 7th Extended Semantic Web Conference, ESWC 2010, Heraklion, Crete, Greece, May 30 – June 3, 2010, Proceedings, Part II (S. 334-348). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • Nowakowski, P. und Stuckenschmidt, H. (2010). Ontology-based product catalogues: An example implementation. In , Multikonferenz Wirtschafts­informatik 2010 (S. 15-25). , Univ.-Verl.: Göttingen.
  • Ritze, D., Völker, J., Meilicke, C. und Svab-Zamazal, O. (2010). Linguistic analysis for complex ontology matching. In , OM-2010 : Proceedings of the 5th International Workshop on Ontology Matching (OM-2010) collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010 (S. Paper 1). CEUR Workshop Proceedings, RWTH: Aachen.
  • Schmitt, N., Niepert, M. und Stuckenschmidt, H. (2010). BRAMBLE: A web-based framework for interactive RDF-graph visualisation. In , ISWC-2010 Posters&Demos : Proceedings of the ISWC 2010 Posters & Demonstrations Track: Collected Abstracts, Shanghai, China, November 9, 2010 (S. 89-92). CEUR Workshop Proceedings, RWTH: Aachen.
  • Schönfisch, J., Chen, W. und Stuckenschmidt, H. (2010). A purely logic-based approach to approximate matching of Semantic Web Services. In , SMR2 2010 : Proceedings of the 4th International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web (SMR2 2010) Workshop at the 9th International Semantic Web Conference - ISWC 2010 Workshops Vol. IV Shanghai, China, Nov. 8, 2010 (S. 37-52). CEUR Workshop Proceedings, RWTH: Aachen.
  • Stuckenschmidt, H., Ceri, S., Della Valle, E. und van Harmelen, F. (2010). Towards expressive stream reasoning. In , (S. 1-14). Dagstuhl Seminar Proceedings, Leibniz-Zentrum für Informatik: Wadern.
  • Trojahn, C., Meilicke, C., Euzenat, J. und Stuckenschmidt, H. (2010). Automating OAEI campaigns (first report). In , IWEST 2010 : Proceedings of the International Workshop on Evaluation of Semantic Technologies (IWEST 2010) Workshop at the 9th International Semantic Web Conference (ISWC2010) - ISWC 2010 Workshops Volume III, Shanghai, China, November 8, 2010 (S. Paper 13). CEUR Workshop Proceedings, RWTH: Aachen.

2017

2016

2013

2011

2010

  • Cimiano, P., Völker, J. und Buitelaar, P. (2010). Ontology Construction. In Handbook of Natural Language Processing (S. 577-604). Boca Raton, Fla. [u.a.]: CRC Press.

2019

2018

2016

2015

2014

2013

2012

2011